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Paper Reviews by AI

2025

Cube: A Roblox View of 3D Intelligence
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AI Generated 🤗 Daily Papers Computer Vision 3D Vision 🏢 Roblox
Roblox presents Cube, a 3D intelligence model using shape tokenization for text-to-shape, shape-to-text, and text-to-scene generation.
BigO(Bench) -- Can LLMs Generate Code with Controlled Time and Space Complexity?
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AI Generated 🤗 Daily Papers Natural Language Processing Large Language Models 🏢 FAIR at Meta
BIGO(Bench) can help LLMs generate code with controlled time/space complexity, addressing the gap in current evaluations and encouraging further exploration.
Temporal Consistency for LLM Reasoning Process Error Identification
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AI Generated 🤗 Daily Papers Natural Language Processing Large Language Models 🏢 Princeton University
A new test-time method, Temporal Consistency, is introduced to improve LLM reasoning by leveraging iterative self-reflection.
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
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AI Generated 🤗 Daily Papers Multimodal Learning Vision-Language Models 🏢 Chung-Ang University
BALGRAD mitigates dominant modality bias in vision-language models by reweighting gradients and aligning task directions for balanced learning and improved performance.
MusicInfuser: Making Video Diffusion Listen and Dance
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AI Generated 🤗 Daily Papers Multimodal Learning Multimodal Generation 🏢 University of Washington
Sync your moves! MusicInfuser adapts video diffusion to make models listen and dance to music, preserving style and aligning movement.
Measuring AI Ability to Complete Long Tasks
·6252 words·30 mins· loading · loading
AI Generated 🤗 Daily Papers AI Theory Safety 🏢 Model Evaluation & Threat Research (METR)
AI progress is tracked with a new metric, 50%-task-completion time horizon, showing exponential growth with a doubling time of ~7 months, hinting at significant automation potential in the near future…
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
·441 words·3 mins· loading · loading
AI Generated 🤗 Daily Papers Multimodal Learning Multimodal Understanding 🏢 UNC-Chapel Hill
MDocAgent: Multi-agent Doc understanding by integrating text and image for better accuracy.
Make Your Training Flexible: Towards Deployment-Efficient Video Models
·5609 words·27 mins· loading · loading
AI Generated 🤗 Daily Papers Computer Vision Video Understanding 🏢 Shanghai Jiao Tong University
FluxViT: Flexible video models via adaptive token selection for efficient deployment!
MagicComp: Training-free Dual-Phase Refinement for Compositional Video Generation
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AI Generated 🤗 Daily Papers Computer Vision Video Understanding 🏢 Peking University
MagicComp: Dual-Phase Refinement Enables Training-Free Compositional Video Generation
Impossible Videos
·4228 words·20 mins· loading · loading
AI Generated 🤗 Daily Papers Computer Vision Video Understanding 🏢 National University of Singapore
Impossible videos expose AI limits!
Frac-Connections: Fractional Extension of Hyper-Connections
·1945 words·10 mins· loading · loading
AI Generated 🤗 Daily Papers Machine Learning Deep Learning 🏢 ByteDance Seed
Frac-Connections: An efficient alternative to Hyper-Connections that divides hidden states into fractions.
DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers
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AI Generated 🤗 Daily Papers Computer Vision Image Generation 🏢 Tsinghua University
DiffMoE: Dynamically selects tokens for scalable diffusion transformers, unlocking new efficiency levels in image generation.
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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AI Generated 🤗 Daily Papers Machine Learning Reinforcement Learning 🏢 Tsinghua University
DAPO: Open-sources a LLM reinforcement learning system that achieves SOTA AIME scores, fostering reproducible research at scale.
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM
·5843 words·28 mins· loading · loading
AI Generated 🤗 Daily Papers Multimodal Learning Vision-Language Models 🏢 Zhejiang University
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLMs
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
·4257 words·20 mins· loading · loading
AI Generated 🤗 Daily Papers Computer Vision Image Generation 🏢 NVIDIA
Cosmos-Transfer1: An adaptable conditional world generation model using multimodal control.
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
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AI Generated 🤗 Daily Papers Multimodal Learning Embodied AI 🏢 NVIDIA
Cosmos-Reason1: Physical AI models that reason and act in the real world, bridging the gap between perception and embodied decision-making.
Concat-ID: Towards Universal Identity-Preserving Video Synthesis
·2138 words·11 mins· loading · loading
AI Generated 🤗 Daily Papers Computer Vision Video Understanding 🏢 Gaoling School of AI, Renmin University of China
Concat-ID: A universal, scalable framework for identity-preserving video synthesis, balancing consistency and editability.
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes
·1935 words·10 mins· loading · loading
AI Generated 🤗 Daily Papers Computer Vision 3D Vision 🏢 Peking University
WideRange4D: A new benchmark & reconstruction method for high-quality 4D scenes with wide-range movements, pushing the boundaries of 4D reconstruction.
Why Do Multi-Agent LLM Systems Fail?
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AI Generated 🤗 Daily Papers AI Theory Robustness 🏢 UC Berkeley
Multi-Agent Systems (MAS) often underperform despite enthusiasm. This paper analyzes 5 popular frameworks across 150+ tasks, identifying 14 failure modes categorized into specification/design, inter-a…
ViSpeak: Visual Instruction Feedback in Streaming Videos
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AI Generated 🤗 Daily Papers Multimodal Learning Human-AI Interaction 🏢 School of Computer Science and Engineering, Sun Yat-Sen University, China
ViSpeak: Enables visual instruction feedback in streaming videos, enhancing human-AI interaction.